From 1cb75fdeb4887dd41e76fdb328fbf2f79ffbfc13 Mon Sep 17 00:00:00 2001 From: Aakash Naik Date: Mon, 6 Mar 2017 00:00:31 +0530 Subject: [PATCH 1/2] Graph Detect Task Completed --- AakashNaik/auv_task.cpp | 343 +++++++++++++++++++++++++++++++++++++++ README.md | 47 ++++++ input_images/input1.jpg | Bin 0 -> 13132 bytes input_images/input10.jpg | Bin 0 -> 35019 bytes input_images/input11.png | Bin 0 -> 4561 bytes input_images/input2.jpg | Bin 0 -> 10474 bytes input_images/input3.jpg | Bin 0 -> 9895 bytes input_images/input4.jpg | Bin 0 -> 17720 bytes input_images/input5.jpg | Bin 0 -> 17437 bytes input_images/input6.jpg | Bin 0 -> 2701 bytes input_images/input7.jpg | Bin 0 -> 34689 bytes input_images/input8.jpg | Bin 0 -> 31298 bytes input_images/input9.jpg | Bin 0 -> 20911 bytes sample_input.jpg | Bin 0 -> 17720 bytes sample_output.jpg | Bin 0 -> 18004 bytes 15 files changed, 390 insertions(+) create mode 100644 AakashNaik/auv_task.cpp create mode 100644 README.md create mode 100644 input_images/input1.jpg create mode 100644 input_images/input10.jpg create mode 100644 input_images/input11.png create mode 100644 input_images/input2.jpg create mode 100644 input_images/input3.jpg create mode 100644 input_images/input4.jpg create mode 100644 input_images/input5.jpg create mode 100644 input_images/input6.jpg create mode 100644 input_images/input7.jpg create mode 100644 input_images/input8.jpg create mode 100644 input_images/input9.jpg create mode 100644 sample_input.jpg create mode 100644 sample_output.jpg diff --git a/AakashNaik/auv_task.cpp b/AakashNaik/auv_task.cpp new file mode 100644 index 0000000..2bdc673 --- /dev/null +++ b/AakashNaik/auv_task.cpp @@ -0,0 +1,343 @@ +#include "stdafx.h" +#include +#include +#include +#include +#include +#include +using namespace cv; +using namespace std; + +stack s; +stack v; +stacka; +Point toppoint; + +Mat canny_image = imread("C:\\Users\\Aakash Naik\\Desktop\\input2.jpg"); +Mat canny_output = imread("C:\\Users\\Aakash Naik\\Desktop\\input2.jpg"); +Mat canny_output2(canny_image.rows, canny_image.cols, 0); +Mat canny_output3(canny_image.rows, canny_image.cols, 0); +Mat canny_output4(canny_image.rows, canny_image.cols, 0); + + + + +int main() +{ + int bg_v = 238; + namedWindow("output", WINDOW_AUTOSIZE); + int sum_r = 0, sum_g = 0, sum_b = 0; + for (int i = 0; i < canny_image.rows; i++) + { + for (int j = 0; j < canny_image.cols; j++) + { + sum_r += canny_image.at(i, j)[2]; + sum_g += canny_image.at(i, j)[1]; + sum_b += canny_image.at(i, j)[0]; + } + } + sum_r = (int)(1.0*sum_r / (canny_image.rows*canny_image.cols)); + sum_g = (int)(1.0*sum_g / (canny_image.rows*canny_image.cols)); + sum_b = (int)(1.0*sum_b / (canny_image.rows*canny_image.cols)); + + + for (int i = 0; i < canny_image.rows; i++) + { + for (int j = 0; j < canny_image.cols; j++) + { + /*if ((abs(canny_image.at(i, j)[2] - canny_image.at(i, j)[0])) +(abs(canny_image.at(i, j)[2] - canny_image.at(i, j)[1])) +(abs(canny_image.at(i, j)[1]-canny_image.at(i, j)[0]))>40) + { + canny_image.at(i, j)[2] = sum_r; + canny_image.at(i, j)[1] = sum_g; + canny_image.at(i, j)[0] = sum_b; + + } + else*/ + { + if (abs(canny_image.at(i, j)[2] - canny_image.at(i, j)[1]) > 17 || abs(canny_image.at(i, j)[2] - canny_image.at(i, j)[0]) > 17) + { + canny_image.at(i, j)[2] = 255; + canny_image.at(i, j)[1] = 255; + canny_image.at(i, j)[0] = 255; + } + else + + if (canny_image.at(i, j)[2] > 220) + { + canny_image.at(i, j)[2] = 255; + canny_image.at(i, j)[1] = 255; + canny_image.at(i, j)[0] = 255; + } + else + { + canny_image.at(i, j)[2] = 0; + canny_image.at(i, j)[1] = 0; + canny_image.at(i, j)[0] = 0; + + } + + } + } + } + + + for (int i = 0; i < canny_output2.rows; i++) + { + int count_h = 0; + int count_v = 0; + + for (int j = 0; j < canny_output2.cols; j++) + { + count_v = 0; + if (canny_image.at(i, j)[2] == 0) + { + + count_v++; + + s.push(Point(i, j)); + v.push(Point(i, j)); + + int q = 1; + + while (!s.empty()) + { + toppoint = s.top(); + s.pop(); + if (toppoint.y + q < canny_image.cols) + { + if (canny_image.at(toppoint.x, toppoint.y + q)[2] == 0) + { + + s.push(Point(toppoint.x, toppoint.y + q)); + v.push(Point(toppoint.x, toppoint.y + q)); + count_v++; + + + } + } + } + + } + + if (count_v > 20) + { + while (!v.empty()) + { + Point point = v.top(); + + canny_image.at(point.x, point.y)[2] = 255; + canny_image.at(point.x, point.y)[1] = 255; + canny_image.at(point.x, point.y)[0] = 255; + v.pop(); + } + } + else + { + while (!v.empty()) + v.pop(); + } + /////////////////////////// + + count_h = 0; + if (canny_image.at(i, j)[2] == 0) + { + + count_h++; + + s.push(Point(i, j)); + v.push(Point(i, j)); + + int q = 1; + + while (!s.empty()) + { + toppoint = s.top(); + s.pop(); + if (toppoint.x + q < canny_image.rows) + { + if (canny_image.at(toppoint.x + q, toppoint.y)[2] == 0) + { + + s.push(Point(toppoint.x + q, toppoint.y)); + v.push(Point(toppoint.x + q, toppoint.y)); + count_h++; + + + } + } + } + + } + + if (count_h > 20) + { + while (!v.empty()) + { + Point point = v.top(); + canny_image.at(point.x, point.y)[2] = 255; + canny_image.at(point.x, point.y)[1] = 255; + canny_image.at(point.x, point.y)[0] = 255; + v.pop(); + } + } + else + { + while (!v.empty()) + v.pop(); + } + + + } + } + + + + + + + + int array[600][2]; + for (int i = 0; i < canny_image.rows; i++) + { + for (int j = 0; j < canny_image.cols; j++) + { + int count = 0; + for (int p = -1; p < 2; p++) + { + for (int q = -1; q < 2; q++) + { + if (i + p>0 && i + p0 && j + q < canny_image.cols) + { + if (canny_image.at(i + p, j + q)[2] == 255) + { + count++; + } + } + } + } + if (count == 8) + { + canny_image.at(i, j)[2] = 255; + canny_image.at(i, j)[1] = 255; + canny_image.at(i, j)[0] = 255; + } + } + } + + int k = 0, r = 0; + for (int i = 0; i < canny_image.rows; i++) + { + for (int j = 0; j < canny_image.cols; j++) + { + int count = 0; + + + for (int p = -2; p < 3; p++) + { + for (int q = -2; q < 3; q++) + { + if (i + p>=0 && i + p=0 && j + q < canny_image.cols) + { + if (canny_image.at(i + p, j + q)[2] == 0) + { + count++; + } + } + } + } + + if (count > 10) + { + canny_image.at(i, j)[2] = 180; + canny_image.at(i, j)[1] = 253; + canny_image.at(i, j)[0] = 11; + array[k][0] = i; + array[k][1] = j; + k++; + + } + } + } + + + for (int i = 0; i < canny_image.rows; i++) + { + + for (int j = 0; j < canny_image.cols; j++) + { + //cout << "check"; + Point max, min; + max.x = i; + max.y = j; + min.x = i; + min.y = j; + if (canny_image.at(i, j)[2] == 180 && canny_image.at(i, j)[1] == 253 && canny_image.at(i, j)[0] == 11) + { + + a.push(Point(i, j)); + + + //cout << "(" << min.x << "," << min.y << ");" << "(" << max.x << "," << max.y << ")out" << '\n'; + while (!a.empty()) + { + + toppoint = a.top(); + + a.pop(); + + canny_image.at(i, j)[2] = 0; + canny_image.at(i, j)[1] = 0; + canny_image.at(i, j)[0] = 0; + for (int k = -2; k < 3; k++) + { + for (int q = -2; q < 3; q++) + { + if ( toppoint.x+ k>=0 && toppoint.x + k=0 && toppoint.y + q < canny_image.cols) + if (canny_image.at(toppoint.x + k, toppoint.y + q)[2] == 155) + { + //cout << "karn" << '\n'; + a.push(Point(toppoint.x + k, toppoint.y +q)); + + canny_image.at(toppoint.x + k, toppoint.y + q)[2] = 0; + canny_image.at(toppoint.x + k, toppoint.y + q)[1] = 0; + canny_image.at(toppoint.x + k, toppoint.y + q)[0] = 0; + if (toppoint.x + k>max.x) + max.x = toppoint.x + k; + if (toppoint.y + q > max.y) + max.y = toppoint.y + q; + if (toppoint.x + k < min.x) + min.x = toppoint.x + k; + if (toppoint.y + q < min.y) + min.y = toppoint.y + q; + + } + + } + + } + + + } + const Scalar color(0, 255, 0); + int swap; + swap = max.x; + max.x = max.y; + max.y = swap; + + swap = min.x; + min.x = min.y; + min.y = swap; + //cout << "(" << min.x << "," << t << ");" << "(" << max.x << "," << max.y << ")" << '\n'; + rectangle( canny_output, max, min, color, 2, 8, 0); //last 3 are thickness, linetype and shift + } + + } + } + + + +imshow("output", canny_output); + waitKey(0); + return 0; + +} \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..5ed0e5d --- /dev/null +++ b/README.md @@ -0,0 +1,47 @@ +# PROBLEM STATEMENT + +### Sample Input + +Such an image of a graph, having X and Y axes. Find the images to be tested at the `input_images/` directory of the repository. + +![alt tag](sample_input.jpg) + +### Sample Output + +Input image + rectangular boxes drawn around the markings on the axes. + +![alt tag](sample_output.jpg) + +### Languages + +C++ / Python + +### Useful tips + +- Browse through the OpenCV library documentation and find functions that would be helpful to implement this. + +- The basic idea of solution, is to find contours (regions, maybe `rectangular` ones) that have atleast a certain level of text density and are on the left side of Y-axis or below the X-axis. + +- Text can be recognised by the sudden change in intensity level with respect to the background. + +- The trick lies in differentiating the X & Y axes from the graph's curve - use Google, StackOverflow and OpenCV tutorials to the maximum extent. + +It may be tough to get all the readings accurately. Keep trying, submit your best attempt. Good luck! + +### Important Note + +- Coordinates of the origin of the graph should not be hard-coded specific to a particular image. The same script should work on as many images as given in the `input_images/` directory. + +- Variables like cutoff text density can be hard-coded. Bonus points for deciding the cutoff intensity dynamically. + +### Submission Guidelines + +1. Fork this repository on GitHub. + +2. Clone your fork with `git clone` statement. + +3. Make your local changes, in the sub-directory: `graph-detect//` (Here, `username` is your Github username) + +4. Push these changes to your fork with `git add`, `git commit` and `git push` statements. + +5. 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zRf&^jb$>}m%gEN@05>EG?e5b~znBrDYExw_UMHj%&kx~$oFADd)@&%^w@p=v+D)(0 zMgI~VHIU4^;XC~v8c7lsk~{+w-c=Zk5mIJF#BXjnUg(5KVE(Mc?6K&pj@VaP`Ed%G zrSH&+i6vh%O_09vEkVuBwf`MAtP zh~X!frCzt^t;`|n&ZQA!b>8v^V(LEZ>pAhQys}$s+@I^wLh1EMa zX^qSE^K9p9-OrHD9xE$bEESIXUHw!M5Qp@OU#D~kTE$L2h%Iiv?-=i>sRkHHYJU>Q z#n)^6 zy?>cMk9Jm*wuPDOvEaL3>rc<$T9!6H$sRz{ykzbmXI7FZB9QE?qAxCdf<~A3U7f&MOiM2#lXuNaEjF{g-;<=-fBD|ZzIaGct?4QraSd@w04GK zb`IU+uIMWTmO%BMlq||%Y@|)&{5(3dYxMCE+1ja-pOsh=`7qG;ovB2wiC|p5f!h!Rf%Z)+4Q3n$*vYQ&UL2z=ALt6 z_AZgQmqNwZ{e|Lj=u->D%hG@lH+-rs5Tz-t>t6YRd;zSSSt1k%96V2H6h@P0vR;|t zCQ;_J^s$JQkhf#22o18ww|PoZ zyE_zecSw(td}zPCu&wFCnV`-t^hFrn^f5cS4fDjf0*a;I~tw8UwA==%%#|t-TqXov=~;qM>vkeVqy&#GGV|1_{M2odms$E_RvjEd4?h zHfCFvg$)LhZcw^XAiy_Ox^G8HAa2xd%(q!MhJRH4&561VJcxRSOcp);;I0Y=(w#aE O#ZbCU^Of;!<^KQyI)2^& literal 0 HcmV?d00001 From 9dda7420999ad8c4ecbbd155b654d030651cbf0c Mon Sep 17 00:00:00 2001 From: Aakash Naik Date: Mon, 6 Mar 2017 05:41:55 +0530 Subject: [PATCH 2/2] Task completed --- AakashNaik/auv_task.cpp | 684 ++++++++++++++++++++-------------------- 1 file changed, 342 insertions(+), 342 deletions(-) diff --git a/AakashNaik/auv_task.cpp b/AakashNaik/auv_task.cpp index 2bdc673..d14699f 100644 --- a/AakashNaik/auv_task.cpp +++ b/AakashNaik/auv_task.cpp @@ -1,343 +1,343 @@ -#include "stdafx.h" -#include -#include -#include -#include -#include -#include -using namespace cv; -using namespace std; - -stack s; -stack v; -stacka; -Point toppoint; - -Mat canny_image = imread("C:\\Users\\Aakash Naik\\Desktop\\input2.jpg"); -Mat canny_output = imread("C:\\Users\\Aakash Naik\\Desktop\\input2.jpg"); -Mat canny_output2(canny_image.rows, canny_image.cols, 0); -Mat canny_output3(canny_image.rows, canny_image.cols, 0); -Mat canny_output4(canny_image.rows, canny_image.cols, 0); - - - - -int main() -{ - int bg_v = 238; - namedWindow("output", WINDOW_AUTOSIZE); - int sum_r = 0, sum_g = 0, sum_b = 0; - for (int i = 0; i < canny_image.rows; i++) - { - for (int j = 0; j < canny_image.cols; j++) - { - sum_r += canny_image.at(i, j)[2]; - sum_g += canny_image.at(i, j)[1]; - sum_b += canny_image.at(i, j)[0]; - } - } - sum_r = (int)(1.0*sum_r / (canny_image.rows*canny_image.cols)); - sum_g = (int)(1.0*sum_g / (canny_image.rows*canny_image.cols)); - sum_b = (int)(1.0*sum_b / (canny_image.rows*canny_image.cols)); - - - for (int i = 0; i < canny_image.rows; i++) - { - for (int j = 0; j < canny_image.cols; j++) - { - /*if ((abs(canny_image.at(i, j)[2] - canny_image.at(i, j)[0])) +(abs(canny_image.at(i, j)[2] - canny_image.at(i, j)[1])) +(abs(canny_image.at(i, j)[1]-canny_image.at(i, j)[0]))>40) - { - canny_image.at(i, j)[2] = sum_r; - canny_image.at(i, j)[1] = sum_g; - canny_image.at(i, j)[0] = sum_b; - - } - else*/ - { - if (abs(canny_image.at(i, j)[2] - canny_image.at(i, j)[1]) > 17 || abs(canny_image.at(i, j)[2] - canny_image.at(i, j)[0]) > 17) - { - canny_image.at(i, j)[2] = 255; - canny_image.at(i, j)[1] = 255; - canny_image.at(i, j)[0] = 255; - } - else - - if (canny_image.at(i, j)[2] > 220) - { - canny_image.at(i, j)[2] = 255; - canny_image.at(i, j)[1] = 255; - canny_image.at(i, j)[0] = 255; - } - else - { - canny_image.at(i, j)[2] = 0; - canny_image.at(i, j)[1] = 0; - canny_image.at(i, j)[0] = 0; - - } - - } - } - } - - - for (int i = 0; i < canny_output2.rows; i++) - { - int count_h = 0; - int count_v = 0; - - for (int j = 0; j < canny_output2.cols; j++) - { - count_v = 0; - if (canny_image.at(i, j)[2] == 0) - { - - count_v++; - - s.push(Point(i, j)); - v.push(Point(i, j)); - - int q = 1; - - while (!s.empty()) - { - toppoint = s.top(); - s.pop(); - if (toppoint.y + q < canny_image.cols) - { - if (canny_image.at(toppoint.x, toppoint.y + q)[2] == 0) - { - - s.push(Point(toppoint.x, toppoint.y + q)); - v.push(Point(toppoint.x, toppoint.y + q)); - count_v++; - - - } - } - } - - } - - if (count_v > 20) - { - while (!v.empty()) - { - Point point = v.top(); - - canny_image.at(point.x, point.y)[2] = 255; - canny_image.at(point.x, point.y)[1] = 255; - canny_image.at(point.x, point.y)[0] = 255; - v.pop(); - } - } - else - { - while (!v.empty()) - v.pop(); - } - /////////////////////////// - - count_h = 0; - if (canny_image.at(i, j)[2] == 0) - { - - count_h++; - - s.push(Point(i, j)); - v.push(Point(i, j)); - - int q = 1; - - while (!s.empty()) - { - toppoint = s.top(); - s.pop(); - if (toppoint.x + q < canny_image.rows) - { - if (canny_image.at(toppoint.x + q, toppoint.y)[2] == 0) - { - - s.push(Point(toppoint.x + q, toppoint.y)); - v.push(Point(toppoint.x + q, toppoint.y)); - count_h++; - - - } - } - } - - } - - if (count_h > 20) - { - while (!v.empty()) - { - Point point = v.top(); - canny_image.at(point.x, point.y)[2] = 255; - canny_image.at(point.x, point.y)[1] = 255; - canny_image.at(point.x, point.y)[0] = 255; - v.pop(); - } - } - else - { - while (!v.empty()) - v.pop(); - } - - - } - } - - - - - - - - int array[600][2]; - for (int i = 0; i < canny_image.rows; i++) - { - for (int j = 0; j < canny_image.cols; j++) - { - int count = 0; - for (int p = -1; p < 2; p++) - { - for (int q = -1; q < 2; q++) - { - if (i + p>0 && i + p0 && j + q < canny_image.cols) - { - if (canny_image.at(i + p, j + q)[2] == 255) - { - count++; - } - } - } - } - if (count == 8) - { - canny_image.at(i, j)[2] = 255; - canny_image.at(i, j)[1] = 255; - canny_image.at(i, j)[0] = 255; - } - } - } - - int k = 0, r = 0; - for (int i = 0; i < canny_image.rows; i++) - { - for (int j = 0; j < canny_image.cols; j++) - { - int count = 0; - - - for (int p = -2; p < 3; p++) - { - for (int q = -2; q < 3; q++) - { - if (i + p>=0 && i + p=0 && j + q < canny_image.cols) - { - if (canny_image.at(i + p, j + q)[2] == 0) - { - count++; - } - } - } - } - - if (count > 10) - { - canny_image.at(i, j)[2] = 180; - canny_image.at(i, j)[1] = 253; - canny_image.at(i, j)[0] = 11; - array[k][0] = i; - array[k][1] = j; - k++; - - } - } - } - - - for (int i = 0; i < canny_image.rows; i++) - { - - for (int j = 0; j < canny_image.cols; j++) - { - //cout << "check"; - Point max, min; - max.x = i; - max.y = j; - min.x = i; - min.y = j; - if (canny_image.at(i, j)[2] == 180 && canny_image.at(i, j)[1] == 253 && canny_image.at(i, j)[0] == 11) - { - - a.push(Point(i, j)); - - - //cout << "(" << min.x << "," << min.y << ");" << "(" << max.x << "," << max.y << ")out" << '\n'; - while (!a.empty()) - { - - toppoint = a.top(); - - a.pop(); - - canny_image.at(i, j)[2] = 0; - canny_image.at(i, j)[1] = 0; - canny_image.at(i, j)[0] = 0; - for (int k = -2; k < 3; k++) - { - for (int q = -2; q < 3; q++) - { - if ( toppoint.x+ k>=0 && toppoint.x + k=0 && toppoint.y + q < canny_image.cols) - if (canny_image.at(toppoint.x + k, toppoint.y + q)[2] == 155) - { - //cout << "karn" << '\n'; - a.push(Point(toppoint.x + k, toppoint.y +q)); - - canny_image.at(toppoint.x + k, toppoint.y + q)[2] = 0; - canny_image.at(toppoint.x + k, toppoint.y + q)[1] = 0; - canny_image.at(toppoint.x + k, toppoint.y + q)[0] = 0; - if (toppoint.x + k>max.x) - max.x = toppoint.x + k; - if (toppoint.y + q > max.y) - max.y = toppoint.y + q; - if (toppoint.x + k < min.x) - min.x = toppoint.x + k; - if (toppoint.y + q < min.y) - min.y = toppoint.y + q; - - } - - } - - } - - - } - const Scalar color(0, 255, 0); - int swap; - swap = max.x; - max.x = max.y; - max.y = swap; - - swap = min.x; - min.x = min.y; - min.y = swap; - //cout << "(" << min.x << "," << t << ");" << "(" << max.x << "," << max.y << ")" << '\n'; - rectangle( canny_output, max, min, color, 2, 8, 0); //last 3 are thickness, linetype and shift - } - - } - } - - - -imshow("output", canny_output); - waitKey(0); - return 0; - +#include "stdafx.h" +#include +#include +#include +#include +#include +#include +using namespace cv; +using namespace std; + +stack s; +stack v; +stacka; +Point toppoint; + +Mat canny_image = imread("C:\\Users\\Aakash Naik\\Desktop\\input2.jpg"); +Mat canny_output = imread("C:\\Users\\Aakash Naik\\Desktop\\input2.jpg"); +Mat canny_output2(canny_image.rows, canny_image.cols, 0); +Mat canny_output3(canny_image.rows, canny_image.cols, 0); +Mat canny_output4(canny_image.rows, canny_image.cols, 0); + + + + +int main() +{ + int bg_v = 238; + namedWindow("output", WINDOW_AUTOSIZE); + int sum_r = 0, sum_g = 0, sum_b = 0; + for (int i = 0; i < canny_image.rows; i++) + { + for (int j = 0; j < canny_image.cols; j++) + { + sum_r += canny_image.at(i, j)[2]; + sum_g += canny_image.at(i, j)[1]; + sum_b += canny_image.at(i, j)[0]; + } + } + sum_r = (int)(1.0*sum_r / (canny_image.rows*canny_image.cols)); + sum_g = (int)(1.0*sum_g / (canny_image.rows*canny_image.cols)); + sum_b = (int)(1.0*sum_b / (canny_image.rows*canny_image.cols)); + + + for (int i = 0; i < canny_image.rows; i++) + { + for (int j = 0; j < canny_image.cols; j++) + { + /*if ((abs(canny_image.at(i, j)[2] - canny_image.at(i, j)[0])) +(abs(canny_image.at(i, j)[2] - canny_image.at(i, j)[1])) +(abs(canny_image.at(i, j)[1]-canny_image.at(i, j)[0]))>40) + { + canny_image.at(i, j)[2] = sum_r; + canny_image.at(i, j)[1] = sum_g; + canny_image.at(i, j)[0] = sum_b; + + } + else*/ + { + if (abs(canny_image.at(i, j)[2] - canny_image.at(i, j)[1]) > 17 || abs(canny_image.at(i, j)[2] - canny_image.at(i, j)[0]) > 17) + { + canny_image.at(i, j)[2] = 255; + canny_image.at(i, j)[1] = 255; + canny_image.at(i, j)[0] = 255; + } + else + + if (canny_image.at(i, j)[2] > 220) + { + canny_image.at(i, j)[2] = 255; + canny_image.at(i, j)[1] = 255; + canny_image.at(i, j)[0] = 255; + } + else + { + canny_image.at(i, j)[2] = 0; + canny_image.at(i, j)[1] = 0; + canny_image.at(i, j)[0] = 0; + + } + + } + } + } + + + for (int i = 0; i < canny_output2.rows; i++) + { + int count_h = 0; + int count_v = 0; + + for (int j = 0; j < canny_output2.cols; j++) + { + count_v = 0; + if (canny_image.at(i, j)[2] == 0) + { + + count_v++; + + s.push(Point(i, j)); + v.push(Point(i, j)); + + int q = 1; + + while (!s.empty()) + { + toppoint = s.top(); + s.pop(); + if (toppoint.y + q < canny_image.cols) + { + if (canny_image.at(toppoint.x, toppoint.y + q)[2] == 0) + { + + s.push(Point(toppoint.x, toppoint.y + q)); + v.push(Point(toppoint.x, toppoint.y + q)); + count_v++; + + + } + } + } + + } + + if (count_v > 20) + { + while (!v.empty()) + { + Point point = v.top(); + + canny_image.at(point.x, point.y)[2] = 255; + canny_image.at(point.x, point.y)[1] = 255; + canny_image.at(point.x, point.y)[0] = 255; + v.pop(); + } + } + else + { + while (!v.empty()) + v.pop(); + } + /////////////////////////// + + count_h = 0; + if (canny_image.at(i, j)[2] == 0) + { + + count_h++; + + s.push(Point(i, j)); + v.push(Point(i, j)); + + int q = 1; + + while (!s.empty()) + { + toppoint = s.top(); + s.pop(); + if (toppoint.x + q < canny_image.rows) + { + if (canny_image.at(toppoint.x + q, toppoint.y)[2] == 0) + { + + s.push(Point(toppoint.x + q, toppoint.y)); + v.push(Point(toppoint.x + q, toppoint.y)); + count_h++; + + + } + } + } + + } + + if (count_h > 20) + { + while (!v.empty()) + { + Point point = v.top(); + canny_image.at(point.x, point.y)[2] = 255; + canny_image.at(point.x, point.y)[1] = 255; + canny_image.at(point.x, point.y)[0] = 255; + v.pop(); + } + } + else + { + while (!v.empty()) + v.pop(); + } + + + } + } + + + + + + + + int array[600][2]; + for (int i = 0; i < canny_image.rows; i++) + { + for (int j = 0; j < canny_image.cols; j++) + { + int count = 0; + for (int p = -1; p < 2; p++) + { + for (int q = -1; q < 2; q++) + { + if (i + p>0 && i + p0 && j + q < canny_image.cols) + { + if (canny_image.at(i + p, j + q)[2] == 255) + { + count++; + } + } + } + } + if (count == 8) + { + canny_image.at(i, j)[2] = 255; + canny_image.at(i, j)[1] = 255; + canny_image.at(i, j)[0] = 255; + } + } + } + + int k = 0, r = 0; + for (int i = 0; i < canny_image.rows; i++) + { + for (int j = 0; j < canny_image.cols; j++) + { + int count = 0; + + + for (int p = -2; p < 3; p++) + { + for (int q = -2; q < 3; q++) + { + if (i + p>=0 && i + p=0 && j + q < canny_image.cols) + { + if (canny_image.at(i + p, j + q)[2] == 0) + { + count++; + } + } + } + } + + if (count > 10) + { + canny_image.at(i, j)[2] = 180; + canny_image.at(i, j)[1] = 253; + canny_image.at(i, j)[0] = 11; + array[k][0] = i; + array[k][1] = j; + k++; + + } + } + } + + + for (int i = 0; i < canny_image.rows; i++) + { + + for (int j = 0; j < canny_image.cols; j++) + { + //cout << "check"; + Point max, min; + max.x = i; + max.y = j; + min.x = i; + min.y = j; + if (canny_image.at(i, j)[2] == 180 && canny_image.at(i, j)[1] == 253 && canny_image.at(i, j)[0] == 11) + { + + a.push(Point(i, j)); + + + //cout << "(" << min.x << "," << min.y << ");" << "(" << max.x << "," << max.y << ")out" << '\n'; + while (!a.empty()) + { + + toppoint = a.top(); + + a.pop(); + + canny_image.at(i, j)[2] = 0; + canny_image.at(i, j)[1] = 0; + canny_image.at(i, j)[0] = 0; + for (int k = -2; k < 3; k++) + { + for (int q = -2; q < 3; q++) + { + if ( toppoint.x+ k>=0 && toppoint.x + k=0 && toppoint.y + q < canny_image.cols) + if (canny_image.at(toppoint.x + k, toppoint.y + q)[2] == 155) + { + //cout << "karn" << '\n'; + a.push(Point(toppoint.x + k, toppoint.y +q)); + + canny_image.at(toppoint.x + k, toppoint.y + q)[2] = 0; + canny_image.at(toppoint.x + k, toppoint.y + q)[1] = 0; + canny_image.at(toppoint.x + k, toppoint.y + q)[0] = 0; + if (toppoint.x + k>max.x) + max.x = toppoint.x + k; + if (toppoint.y + q > max.y) + max.y = toppoint.y + q; + if (toppoint.x + k < min.x) + min.x = toppoint.x + k; + if (toppoint.y + q < min.y) + min.y = toppoint.y + q; + + } + + } + + } + + + } + const Scalar color(0, 255, 0); + int swap; + swap = max.x; + max.x = max.y; + max.y = swap; + + swap = min.x; + min.x = min.y; + min.y = swap; + //cout << "(" << min.x << "," << t << ");" << "(" << max.x << "," << max.y << ")" << '\n'; + rectangle( canny_output, max, min, color, 2, 8, 0); //last 3 are thickness, linetype and shift + } + + } + } + + + +imshow("output", canny_output); + waitKey(0); + return 0; + } \ No newline at end of file